Real-time fault detection and condition monitoring for industrial autonomous transfer vehicles utilizing edge artificial intelligence

HIGHLIGHTS

• who: u00d6zgu00fcr Gu00fcltekin and colleagues from the Center of Intelligent Systems Applications and Research (CISAR), Eskisehir Osmangazi University, Department of Computer Engineering, Eskisehir Osmangazi University, Eskisehir, Turkey have published the Article: Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence, in the Journal: Sensors 2022, 3208 of /2022/
• what: This work shows it for of autonomous transfer vehicle (ATV) equipment targeting a smart factory use case. The authors present a generic real-time condition monitoring architecture and a system implementation that can be adapted for a fleet of . . .
  

   

  

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